원본 보기
0 ratings
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022
genuine image
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch.
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022
제품번호 #: 47529177

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022

제품번호 #: 47529177

KRW 62628

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from 영국

0 ratings 리뷰 작성
재고
영국 UK 스토어에서 가져옴
지금 주문하시면 도착 예정일 Monday, 6월 29
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch.
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment
bank transfer payment
l. pay payment
culture voucher payment
cashbee payment
toss pay payment
kakao pay payment
lg pay payment
samsung pay payment
credit cards korea payment
happy money payment
teencash payment
t-money payment
book gift voucher payment
egg money payment
mobiamo payment
payco payment

What Stands Out

Comprehensive Guide
Offers an in-depth exploration of both machine learning and deep learning concepts, providing readers with a thorough understanding necessary to build sophisticated models using Python.
Practical Applications
Includes hands-on projects utilizing PyTorch and Scikit-Learn, allowing readers to apply theoretical knowledge to real-world problems, enhancing learning through practice.
Accessible for All
Written for beginners and experienced developers alike, the book demystifies complex topics, making advanced concepts in machine learning approachable for all skill levels.

제품 세부 정보

Explore machine learning and deep learning models with Python. Buy the paperback edition of Machine Learning with PyTorch and Scikit-Learn from the Ubuy South Korea Global Store.
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Beginners in ML

    Ideal for individuals new to machine learning, providing step-by-step guidance and foundational knowledge.

  • Python Developers

    Perfect for Python developers looking to enhance their skills in machine learning and deep learning frameworks.

  • Data Scientists

    Useful for data scientists who want to implement machine learning algorithms using PyTorch and Scikit-Learn.

Not Suitable For
  • Advanced Practitioners

    Not suitable for seasoned experts seeking advanced techniques or in-depth theoretical explorations of machine learning.

  • Non-Technical Users

    May be challenging for individuals without a programming background or basic understanding of machine learning concepts.

  • Niche Applications

    Users looking for highly specialized machine learning applications might not find the content adequately focused.

제품 설명

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python Paperback – 25 Feb. 2022

About This Item

Are you looking to delve into the fascinating field of machine learning? Look no further than Machine Learning with PyTorch and Scikit-Learn. This comprehensive guide combines the power of two leading Python libraries, PyTorch and Scikit-Learn, to help you develop and implement cutting-edge machine learning and deep learning models. With a practical and hands-on approach, this book is perfect for beginners and experienced data scientists alike. Whether you're just starting out or looking to expand your knowledge, you'll find valuable insights and techniques to enhance your machine learning skills. PyTorch, known for its flexibility and ease of use, forms the backbone of this book.

You'll learn how to build and train machine learning models using PyTorch's intuitive interface and powerful computational capabilities. Dive into the world of deep learning as you explore neural networks, convolutional networks, recurrent networks, and more. But that's not all – we also bring in the power of Scikit-Learn, another renowned machine learning library. By integrating Scikit-Learn with PyTorch, you'll have access to a wider range of algorithms and frameworks for solving complex real-world problems.

From classification and regression to clustering and dimensionality reduction, this book covers it all. Throughout the book, you'll find practical examples and code snippets that illustrate key concepts and techniques. From building your own machine learning projects to implementing natural language processing and tackling advanced topics, this book will equip you with the skills you need to excel in the field of machine learning. Don't miss out on the opportunity to become a machine learning expert. Get your copy of Machine Learning with PyTorch and Scikit-Learn today and embark on an exciting journey into the world of data science and artificial intelligence.

질문이 있으십니까? 채팅하기

고객 질문 및 답변

  • 의문: What are the essential parts of PyTorch?

    답변: The book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.
  • 의문: What are the latest trends in deep learning covered in the book?

    답변: This new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).
  • 의문: Who is the book for?

    답변: This book is for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch.

Higher Education Editorial Review

The book "Machine Learning with PyTorch and Scikit-Learn" has received overwhelmingly positive customer feedback. The book is Considered comprehensive and detailed, covering a wide range of topics in-depth, making it suitable for experienced developers as well as those new to the field. The inclusion of recent technologies such as transformers and GANs, as well as coverage of PyTorch and Scikit-Learn, is praised. Customers appreciate the balance between theory and practical applications, as well as the clear and detailed explanations. The book is seen as a reference book due to its extensive content, with readers encouraged to use it as a resource rather than trying to digest it all at once. Some readers have particularly highlighted the chapter on Transformers and NLP as exceptionally well-written and informative. A key point of criticism is the physical quality of the book, with readers noting wavy pages and black and white print. However, the availability of a free eBook download mitigates this issue. Overall, the book is recommended for anyone looking for a comprehensive introduction to machine learning, particularly for those interested in PyTorch. It is seen as an essential read and a valuable reference for further study. **

Customer Reviews & Ratings

5.0
1 고객 평가
  • 5 점
    100%
  • 4 점
    0%
  • 3 점
    0%
  • 2 점
    0%
  • 1 점
    0%

이 제품 리뷰하기

다른 고객들과 의견을 공유하세요.

장점

  • Comprehensive and detailed coverage of various machine learning topics
  • Inclusion of recent technologies such as transformers and GANs
  • Clear and detailed explanations suitable for both experienced developers and beginners
  • Balances theory and practical applications well
  • Extensive coding samples for hands-on learning
  • Valuable reference book for further study

단점

  • Physical quality of the book, including wavy pages and black and white print

Product Price History

중요 정보

  • 제한 사항: 국제 배송되는 제품의 경우 제조업체 보증이 유효하지 않을 수 있으며, 제조업체 서비스 옵션을 사용하지 못하거나 제품 설명서, 지침 및 안전 경고가 대상 국가 언어로 표시되지 않을 수 있으며, 제품(및 첨부 자료)은 도착 국가 표준, 사양 및 라벨링 요구 사항에 따라 설계되지 않을 수 있으며, 제품은 목적지 국가 전압 및 기타 전기 표준을 준수하지 않을 수 있습니다(가능한 경우 어댑터 또는 변환기 사용 필요). 수령인은 제품을 도착 국가로 합법적으로 수입할 수 있는지 확인할 책임이 있습니다. Ubuy 또는 그 제휴사에서 주문할 때, 수령인은 기록 수입자로서 도착 국가의 모든 법률과 규정을 준수해야 합니다.
  • Ubuy는 글로벌 검색 엔진이므로 Ubuy에 나열된 모든 제품이 판매용은 아닙니다. 제품은 수출/무역 규정을 따릅니다.

KRW 62628

지금 주문하시면 도착 예정일 Monday, 6월 29

QTY:

Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

특징 및 장점

  • Learn applied machine learning with a solid foundation in theory
  • Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices
  • Teaches principles allowing you to build models and applications for yourself
  • Companion to machine learning with Python
  • For developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch